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MPAS Atmosphere

In this recipe, you’ll visualize:

  • 30km MPAS Atmosphere model output

Required Cookbook Sections

  • TODO


import uxarray as ux
import cartopy.crs as ccrs
grid_path = "../../meshfiles/x1.655362.grid.nc"
data_path = "../../meshfiles/x1.655362.data.nc"

uxds = ux.open_dataset(grid_path, data_path)
uxds
<xarray.UxDataset> Size: 8MB
Dimensions:           (Time: 1, n_face: 655362, n_node: 1310720)
Dimensions without coordinates: Time, n_face, n_node
Data variables:
    relhum_200hPa     (Time, n_face) float32 3MB ...
    vorticity_200hPa  (Time, n_node) float32 5MB ...

Relative Humidity

uxds['relhum_200hPa'][0].plot(projection=ccrs.Robinson(), pixel_ratio=4.0, features=['coastline'])